Yotam Gil

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Natural Language Processing — 10 citations into it
• Signal Processing — 5 citations into it

Whom Yotam Gil trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kyunghyun Cho
2. Dzmitry Bahdanau
3. Sepp Hochreiter
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Ian J. Goodfellow
7. J. Urgen Schmidhuber
8. Robin Jia
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Yotam Gil overall

1. Eric Wallace

Papers from Yotam Gil's perspective

Ordered by how strongly the researchers Yotam Gil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks (2019) — 56 citations